Making and selling hardware is difficult. Really difficult, but some companies have been doing it successfully, throughout recorded history.
It's really strange to see it being dismissed as "impossible," nowadays.
Apple makes tons (read: billions of dollars) from ads. Hence, Apple is in the business of ads, have sales people working with advertisers to make targeting, personalization work.
I take no side in "ads are bad" argument, but you have to accept that Apple is in the ads business, whether you like ads or not.
Just because they're not Google's size doesn't mean they don't have people making product decisions that will eventually sacrifice privacy for profits.
[0] https://digiday.com/marketing/when-it-comes-to-ads-apple-isn...
The reality distortion field is strong, even with some HNers.
Stay classy Apple.
From a business perspective it’s a smart move (inasmuch as “integrating AI” is the default which I fundamentally disagree with) since Apple won’t be left holding the bag on a bunch of AI datacenters when/if the AI bubble pops.
I don’t want to lose trust in Apple, but I literally moved away from Google/Android to try and retain control over my data and now they’re taking me… right back to Google. Guess I’ll retreat further into self-hosting.
Did you forget all the Apple Intelligence stuff? They were never "ignoring" if anything they talked a big talk, and then failed so hard.
The whole iPhone 16 was marketed as AI first phone (including in billboards). They had full length ads running touting AI benefits.
Apple was never "ignoring" or "sitting AI out". They were very much in it. And they failed.
I never said Snapchat is dead. It still lives on, but it is a shell of the past. They had no moat, and the competitors caught up (Instagram, Whatsapp and even LinkedIn copied Snapchat with stories .. and rest is history)
But for anyone using LLM's to help speed up academic literature reviews where every detail matters, or coding where every detail matters, or anything technical where every detail matters -- the differences very much matter. And benchmarks serve just to confirm your personal experience anyways, as the differences between models becomes extremely apparent when you're working in a niche sub-subfield and one model is showing glaring informational or logical errors and another mostly gets it right.
And then there's a strong possibility that as experts start to say "I always trust <LLM name> more", that halo effect spreads to ordinary consumers who can't tell the difference themselves but want to make sure they use "the best" -- at least for their homework. (For their AI boyfriends and girlfriends, other metrics are probably at play...)
We've seen this movie before. Snapchat was the darling. Infact, it invented the entire category and was dominating the format for years. Then it ran out of time.
Now very few people use Snapchat, and it has been reduced to a footnote in history.
If you think I'm exaggerating, that just proves my point.
Or maybe the GPUs are not really that different from TPU.
To me, one of the secret sauce of AI chips is Memory amd Interconnect bandwidth. Memory everyone is using the same HBM series. No difgerentiation. Multi chasis Interconnect is already not bottlenecked vs compute. So GPUs aren,t any worse.
Ammuter Guesswork!
It'll be same story as Apple and their Mx chips. Lots have been trying and none have matched even after many generations. And not many companies have the pockets to build a successful chip, at scale, and be efficient.
> "Hey ChatGPT, help me find a USB-C charger that has 3 ports and around 100W power"
>> "Absolutely. Here's [insert product] which matches most of your criteria. I should also mention this is a promoted response. Read on more to see the really best product, which is [another product]"
The article argues this as well, but how do you want all these publishers to make money? If I pay for NYT, that's not a dollar spent on Washington Post or LA times or The Globe. With advertisements, a "little bit" was spend on all of those sites.
So what's the way out here? Please dont say that everything should be free.